ScaffComb: A Phenotype-Based Framework for Drug Combination Virtual Screening in Large-Scale Chemical Datasets.
Sign Up to like & getrecommendations! Published in 2021 at "Advanced science"
DOI: 10.1002/advs.202102092
Abstract: Combinational therapy is used for a long time in cancer treatment to overcome drug resistance related to monotherapy. Increased pharmacological data and the rapid development of deep learning methods have enabled the construction of models… read more here.
Keywords: large scale; virtual screening; drug; phenotype based ... See more keywords
Informatics Approaches for Predicting, Understanding, and Testing Cancer Drug Combinations.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-7154-1_30
Abstract: Making cancer treatment more effective is one of the grand challenges in our health care system. However, many drugs have entered clinical trials but so far showed limited efficacy or induced rapid development of resistance.… read more here.
Keywords: predicting understanding; informatics approaches; drug; cancer ... See more keywords
Drug compatibility in neonatal intensive care units: gaps in knowledge and discordances
Sign Up to like & getrecommendations! Published in 2021 at "European Journal of Pediatrics"
DOI: 10.1007/s00431-021-04028-9
Abstract: In this work, we reviewed the compatibility data of drug combinations frequently administrated in nine Spanish neonatal intensive care units (NICUs) and analyzed the degree of agreement among three highly used databases (Micromedex, King Guide… read more here.
Keywords: compatibility; king guide; physical compatibility; drug ... See more keywords
Dynamic Rearrangement of Cell States Detected by Systematic Screening of Sequential Anticancer Treatments.
Sign Up to like & getrecommendations! Published in 2017 at "Cell reports"
DOI: 10.1016/j.celrep.2017.08.095
Abstract: Signaling networks are nonlinear and complex, involving a large ensemble of dynamic interaction states that fluctuate in space and time. However, therapeutic strategies, such as combination chemotherapy, rarely consider the timing of drug perturbations. If… read more here.
Keywords: dynamic rearrangement; rearrangement cell; drug; cell states ... See more keywords
Focused review: The role of drug combinations for the control of coccidiosis in commercially reared chickens
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Parasitology: Drugs and Drug Resistance"
DOI: 10.1016/j.ijpddr.2022.01.001
Abstract: A survey of drug combinations employed by the poultry industry indicates that they have played an important role in the control of coccidiosis in chickens. The mode of action of their component drugs is described.… read more here.
Keywords: drug combinations; control coccidiosis; drug; focused review ... See more keywords
Systematic identification of biomarker-driven drug combinations to overcome resistance
Sign Up to like & getrecommendations! Published in 2022 at "Nature Chemical Biology"
DOI: 10.1038/s41589-022-00996-7
Abstract: The ability to understand and predict variable responses to therapeutic agents may improve outcomes in patients with cancer. We hypothesized that the basal gene-transcription state of cancer cell lines, coupled with cell viability profiles of… read more here.
Keywords: drug combinations; resistance; combinations overcome; overcome resistance ... See more keywords
In silico-based screen synergistic drug combinations from herb medicines: a case using Cistanche tubulosa
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-16571-3
Abstract: Neuroinflammation is characterized by the elaborated inflammatory response repertoire of central nervous system tissue. The limitations of the current treatments for neuroinflammation are well-known side effects in the clinical trials of monotherapy. Drug combination therapies… read more here.
Keywords: herb medicines; drug; cistanche tubulosa; combinations herb ... See more keywords
Identification and evaluation of novel drug combinations of Aurora kinase inhibitor CCT137690 for enhanced efficacy in oral cancer cells
Sign Up to like & getrecommendations! Published in 2019 at "Cell Cycle"
DOI: 10.1080/15384101.2019.1643658
Abstract: ABSTRACT Oral cancer is the most prevalent subtype of head and neck cancers and arises mainly from squamous cells of the oral cavity. Patients with advanced metastatic disease have poor overall survival resulting primarily from… read more here.
Keywords: cancer; oral cancer; cell lines; drug combinations ... See more keywords
An enhanced cascade-based deep forest model for drug combination prediction
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab562
Abstract: Combination therapy has shown an obvious curative effect on complex diseases, whereas the search space of drug combinations is too large to be validated experimentally even with high-throughput screens. With the increase of the number… read more here.
Keywords: enhanced cascade; cascade based; combination; drug combinations ... See more keywords
PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein–protein interaction network
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbab587
Abstract: Abstract Although drug combinations in cancer treatment appear to be a promising therapeutic strategy with respect to monotherapy, it is arduous to discover new synergistic drug combinations due to the combinatorial explosion. Deep learning technology… read more here.
Keywords: network; drug combinations; synergistic drug; cell lines ... See more keywords
Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac403
Abstract: Identifying synergistic drug combinations (SDCs) is a great challenge due to the combinatorial complexity and the fact that SDC is cell line specific. The existing computational methods either did not consider the cell line specificity… read more here.
Keywords: cell; line specific; drug combinations; cell line ... See more keywords